Over 800 Indian enterprises are leveraging Microsoft’s Azure OpenAI platform to combine synthetic intelligence (AI) into their operations and construct new circumstances, Puneet Chandok, President of Microsoft India and South Asia, stated on the CII Worldwide Convention on Synthetic Intelligence on Friday, in accordance with an ET report.
Additionally Learn: Microsoft to Make investments USD 3 Billion in India to Enhance AI, Cloud, and Skilling: CEO
AI’s Function Inside Microsoft
Inside Microsoft, AI and copilots are enhancing productiveness, delivering a ten % enhance in gross sales effectivity, 20 % increased win charges, and 40 % sooner customer support resolutions, Chandok reportedly famous.
“India is each we’re constructing the know-how, we’re innovating, however we’re additionally diffusing know-how like by no means earlier than, from school rooms to boardrooms, from commerce to communities and farmlands,” Chandok was quoted as saying within the report.
India’s AI-First Imaginative and prescient for 2047
For India to succeed in its aim of changing into a developed financial system by 2047, it has to change into an AI-first nation, he reportedly stated. Empathy and company are being constructed into AI and each trade and performance is being reinvented.
In line with the report, the CII Nationwide AI Discussion board’s focus areas embody consciousness, adoption, invention, and regulation of AI.
A survey by CII and Protiviti, launched on the occasion, discovered that over half of Indian enterprises plan to increase AI adoption. Whereas 60 % are ready for AI integration, 38 % stay in early phases. Nevertheless, AI governance stays a problem, with solely 23 % of enterprises implementing ethics frameworks. Notably, over 40 % of corporations are open to exterior AI audits and bias assessments as they adopted AI.
Additionally Learn: IndiaAI and Microsoft Be a part of Forces to Harness AI for Financial Transformation
High AI Applied sciences in Use
The report highlighted that predictive AI (81 %), conversational chatbots (56 %), and machine studying (48 %) are probably the most broadly used AI applied sciences. Amongst potential applied sciences being assessed, generative AI (74 %) and agentic AI (58 %) had been reportedly the highest selections of respondents.
Key Challenges in AI Adoption
The highest 4 challenges in AI adoption, in accordance with the report, embody moral issues, bias, authorized dangers, a scarcity of expert AI professionals, excessive implementation prices, and information privateness points. Sectors like enterprise course of outsourcing (BPO) might see job losses as a result of AI, warned Sachin Tayal, Managing Director at Protiviti India, in accordance with the report. He added that, if not an overarching legislation, India ought to discover an “AI code” outlining main dangers associated to information for AI coaching and shopper safety.
Additionally Learn: Microsoft Indicators Partnerships to Advance AI in Core Indian Sectors
Regulatory Debates
Specialists debated AI rules, with requires a sectoral method quite than an overarching legislation. In line with the report, Rohit Chauhan, Director of Company Affairs for India at TCS, stated India’s AI rules ought to be sectoral and use case-driven. Kishore Balaji, Govt Director of Authorities Affairs at IBM, stated present legal guidelines cowl most harms already, and what’s wanted is a nationwide technique on AI skilling.
SAP’s Lovneesh Chanana urged India take cues from international AI pointers, equivalent to Japan’s AI and copyright framework, and tailor them to native wants, the report stated.
